New visualization alert: Big Numbers

We’re very happy to announce that you can now present your data in the Big Numbers format. This is a particularly useful feature if you want to highlight a single metric making it visible in the dashboard as a summary, e.g. reach, followers change, and more.

 Big Numbers visualization 

What is the Big Numbers visualization?

Alongside the other chart and table types, Big Numbers are introduced to represent a single metric in a more focused way. It contains a single number that can be related to followers, posts, likes, etc., or an average number per day over time, for example, average reach over time. This can also be accompanied by a secondary percentage number that represents a change in comparison to the previous period. 

How to get started?

We have created a set of default metrics for each social media network. Visit the “Discover” section, select one and add it to your dashboard. You can always customize or create new custom metrics using our metric builder. It is also worth mentioning that Big Numbers visualization is interchangeable with the gauge chart.

 Big Numbers visualization 


We’re pleased to deliver this new way to present your data. In a true quintly fashion, you can even further enhance your dashboards, exports, and automated reports with single number metrics. Our clients are always looking for more story-driven reporting, and we feel that this release, alongside the recent "Custom Notes" update, is making this goal easier to achieve. We cannot wait to see how our customers will utilize this new feature; they did ask for it :)

Instagram comments for authenticated accounts

Today we are excited to announce the availability of a new data source holding the comments on posts of your authenticated Instagram accounts. This data set enables completely new insights into the feedback of your users.

What information is available?

With this data source you have access to comments and their replies on posts of your authenticated Instagram accounts.

Instagram supports comment threads to better organize the discussion. Comments nested in a thread below another comment are called replies. Please note that there is no reply to a reply and nesting is limited at the second level. This data source holds both comments (first level) and replies (second level).

You have access to the following information per comment/reply:

  • Publishing time: The date and time this comment/reply was published
  • Post relationship: Identify the post this comment/reply belongs to
  • Comment relationship: If this comment is a reply to another comment, you can identify the comment it belongs to
  • Username: The username of the comment author
  • Account answer: A flag indicating if this comment/reply was made by the author of the post this comment belongs to (helpful for customer care analysis and response time measurement)
  • Text: The text of this comment
  • Mentions: The @mentions within the text
  • Hashtags: The hashtags within the text
  • Hidden: A flag indicating if this comment/reply was hidden by the account owner of the post this comment belongs to
  • Likes: The number of likes this comment/reply got

Please find the complete documentation in our data sources section in quintly.


With this release we have created default metrics for you to start:

You can expect additional default metrics to be available in Discover in the next few days.

Are there any limitations?

As of now this data source includes comments and replies made in an organic context only. Paid context commenting is something we will explore further for a future data source focusing on promoted posts and their comments and replies.

Account owners have several options to moderate the discussion. This includes blocking users from commenting and the ability to delete or hide individual comments and replies. Obviously comments that were deleted will not be returned in this data source. Hidden comments will be listed with the appropriate flag set.

API endpoint for data source schema


A new API endpoint has been added to return the schema and meta information of our data sources, including detailed descriptions for each column. This endpoint is especially helpful for building integrations into business intelligence software.

Co-labelling now available

We are thrilled to announce that you can now co-label your reports/dashboards with a custom logo. This is another feature that was on top of the wishlist of our clients. Let’s dive in.

How does it work?

In a nutshell, this co-labeling update allows our customers to personalize their dashboards and reports by adding their logo. This customization is available on two access levels:

  • Globally - available in "Spaces", you will be able to set a logo for all dashboards/reports within the Space.
  • Specific to a dashboard - you can set/overwrite your logo for each specific dashboard/report independently.

How to get started?

Depending on the usage, whether you would like to have a global brand setup or more granular setting, navigate to either “Admin Settings / Space” and set the logo there, or visit the dashboard that you would like to brand and click edit. In both cases, once you click save, the logo will be saved and displayed in any shared/exported resources, whether it is a jpg/png/pdf/link export or automated reports. The newly selected logo will be added there.

Pricing and availability

Co-labelling is already available for free to everyone as of today. It is automatically added to any accounts that are enrolled to the new subscription model. Users, who are currently still on the old subscription model will get free three months trial access to this feature. If you would like to find out how to upgrade to the new subscription model, please reach out to our support team.

πŸ₯‡ quintly now supports IGTV!

We are happy to announce that quintly has added IGTV to its data source collection. It was especially sought after by a lot of our clients and we are very thrilled to deliver it to you just one day after the official release (as of 16th of March 2021). This update brings both public and private data from IGTV. Let’s dive in 😀.

Data sources

instagramTvPosts - Holding public information about IGTV videos of Instagram Business or Creator Accounts, including interaction rate, comments, likes, and follower counts.

instagramInsightsTvPosts - Holding information about IGTV videos of Instagram Business or Creator Accounts with all their private statistics attached. It includes the above plus reach, engagement, number of times saved, impressions, and more.

Those data sources do not include regular posts (covered extensively by other sets) or Reels (they are not yet available).


As always, we have created some default metrics to get you started. What is important to mention is that no existing metrics are affected by this update, so no review on your side will be required.

This was one of the most requested features/data points by our customers and we are happy to deliver it so quickly (huge thank you to our team 👏👏👏). Happy analyzing!

TikTok data now available!

Happy New Year from quintly! We are very excited to announce that Tiktok analytics are now available within our platform! This was one of the biggest requests from you in 2020, so we are happy to deliver it fresh into the new year.

How is Tiktok tracked?
Although Tiktok doesn’t have a public API available to 3rd party users yet, we are able to track public profiles and their posts, as this data is indexable. Once you start tracking a profile on quintly, we will store historic data about that profile starting from this point onwards. Since quintly uses publicly accessible information at the start, you will have access to the 6 latest videos and their information. From this starting point, any new videos will be added respectively, keeping the previously added ones.

What data is tracked?
As mentioned above, quintly tracks indexable data which includes:
- On Profile level: following and followers count, the number of likes and videos. This data is served on a time series basis so you can track changes over time.
- On Posts level: basic information (the thumbnail, link description, and hashtags), length, challenges, and music attached to the video, performance-based (views, likes, comments, and shares) and post tags.

Default metrics
As it is a completely new data source, we have created default metrics. As always, the real power of the metrics would be the use cases that you will create. TikTok is available for post tagging, custom metric builder, and API instantly. This data source sits directly alongside other data from other networks in our data layer, so it can be combined in cross-network reports.

How to get started
Adding a TikTok profile works the same way as any other profile. Paste in a profile URL in the search bar or search for the TikTok account and start tracking it. Since it is publicly available data, there is no need for authentification.

Next steps and precautions
We are very happy to add TikTok to our portfolio of metrics. We are actively monitoring the development of TikTok’s API. Once the API is available, we will implement it. The availability of the public data might change depending on TikTok’s next moves. We will make the necessary adjustments if that happens and since we store your information in our data layer, your historical data will be intact.
We are extremely excited to bring this feature to you, so go ahead and add TikTok to your social media analytics mix!

Post tagging now available πŸš€

We are thrilled to announce a massive update to our platform: Post Tagging and Additional Filters!

How does it work?

Post Tagging allows you to tag and gather posts that you would like to analyze as a whole. You can easily create tags, tag posts, develop metrics, and dashboards to provide an in-depth analysis of the campaign you are running. A significant thing to mention is that you are not limited to only your posts (or the accounts you manage). You can also tag competitors posts, and later run competitive analysis on the campaign level.

In order to start, navigate to an entirely new section on our sidebar menu called "Tags". There are two options there, "Post tags" and "Tag manager". Tags can be created from both of those sections. They both serve a slightly different purpose. For a quick post-filter and tag, quickly find posts, then "Post tags" is your place. For bulk creation and organization of the tags navigate to "Tag manager".

In the "Post tags" section you can either tag single posts or use our additional filters to bulk tag the posts.

Analyzing your tags

Thanks to this release, the wide spectrum of use cases are covered, including campaign management, A/B testing, and even more advanced competitive benchmarking. The tags functionality, sit directly within the data layer, which means that it is open for the customization via custom metrics. The list of data sources that support post tagging can be found below:

Facebook Post: facebookOwnPosts, facebookInsightsOwnPosts, facebookInsightsExpiredPosts
Facebook Video: facebookInsightsOwnVideos
Instagram Post: instagramOwnPosts, instagramInsightsOwnPosts
Instagram Story: instagramInsigthsStories
Twitter Tweet: twitterOwnTweets, twitterOwnReplies, twitterAnalyticsOwnTweets, twitterAnalyticsOwnReplies
YouTube Video: youtubeVideos, youtubeAnalyticsVideos, youtubeAnalyticsTopVideos
LinkedIn Post: linkedInAnalyticsOwnPosts
Snapchat Show Story: snapchatShowInsightsStories

In order to start analyzing posts by tags, navigate to either "Discover" section and choose predefined metrics or dashboards or enhance already created custom metrics by the new filter layer.

Additional Filters

In addition to Post Tagging we are releasing the Additional Filter feature. This update allows users to select ALL or ANY filters meeting specific criteria. It will filter the content within the posts including hashtags.

Filters on the metric level

Both, Post Tagging and Additional Filters are available on the single metric level. It means that each metric within the dashboard can have its own set of filters based on tags, keywords, dates, and profiles. To create a custom filter on the metric level, navigate to the chosen metric, click "Edit settings", scroll down, select "Select custom additional filters for this metric" and click on the "Filter" button. These filters are independent from the global dashboard settings.

Wrap up

We are very happy with this release. It will allow our customers to utilize quintly in a completely new way. Again, thanks to the way this is built, those updates are available for custom metric building, data-push and API. We are very excited to see how you will utilize these new updates.

Further reading

If you would like to read our official product blog article, please click here.
If you would like to read our step by step support article, please visit our knowledge base. You can always reach out to us via our in app chat or sending an email to

Introducing the new profile transparency section πŸ₯

We are very happy to announce the new profile detailed page, increasing transparency about the state of your profiles. You will now be able to track the health and activity of a profile, and activate private statistics use cases.

There will be a table which contains different types of events, for example:

If the profile no longer exists or was migrated into another profile.
Anytime a user activates or deactivates a private statistics use case.
The date the profile was added.

You will also see profile health as a chart over-time, which shows the profile's general access and any private statistics use cases. If at anytime one of your added profiles are no longer accessible the admin will receive a notification via email and inside the tool.

Please note that the events and health data will only be visible from the date of release (01.07.2020).

If you have any questions please don't hesitate to contact us!

New twitterAnalyticsOwnReplies data source πŸ’¬

We have added a new data source called twitterAnalyticsOwnReplies, along with 3 new default metrics. You can find the following metrics in discover:

Twitter Analytics Table Total
Twitter Analytics Table Replies
Own Replies Table

You can also find more information on the columns available in the new data source library here.

If you have any questions about this new data source, please don't hesitate to contact our Customer Success team via live chat or

New navigation and sections πŸ”“

We’ve updated the tool with a new side navigation to help you navigate better, along with new additional sections to help you analyze more effectively.

The decision for changing our navigation was to include the new sections; data source library and integrations, and pave the way for future new sections.

We have also split the account settings into two; admin and personal which you can find at the bottom left-hand corner.

We hope you find your way around the tool quickly. If you have any feedback for us we would love to hear it just contact support via live chat or

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